AFSA-SLnO variants for enhanced global optimization

AFSA-SLnO variants for enhanced global optimization

Artificial fish swarm algorithm (AFSA) is a strategy which imitates the natural behavior of fish swarm in the real environment. Many improvements and modifications have been proposed on AFSA to improve its optimization performance. To date, nevertheless, the existing algorithms are still unable to a...

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Bibliographic Details
Main Authors: Norazian, Subari, Junita, Mohamad-Saleh, Noorazliza, Sulaiman
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39634/
http://umpir.ump.edu.my/id/eprint/39634/1/AFSA-SLnO%20Variants%20for%20Enhanced%20Global%20Optimization.pdf
http://umpir.ump.edu.my/id/eprint/39634/2/AFSA-SLnO%20variants%20for%20enhanced%20global%20optimization_ABS.pdf

Internet

http://umpir.ump.edu.my/id/eprint/39634/
http://umpir.ump.edu.my/id/eprint/39634/1/AFSA-SLnO%20Variants%20for%20Enhanced%20Global%20Optimization.pdf
http://umpir.ump.edu.my/id/eprint/39634/2/AFSA-SLnO%20variants%20for%20enhanced%20global%20optimization_ABS.pdf

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